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Natural Adversarial Examples
v1v2v3v4 (latest)

Natural Adversarial Examples

Computer Vision and Pattern Recognition (CVPR), 2019
16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
    OODD
ArXiv (abs)PDFHTML

Papers citing "Natural Adversarial Examples"

50 / 1,169 papers shown
Effective pruning of web-scale datasets based on complexity of concept
  clusters
Effective pruning of web-scale datasets based on complexity of concept clustersInternational Conference on Learning Representations (ICLR), 2024
Amro Abbas
E. Rusak
Kushal Tirumala
Wieland Brendel
Kamalika Chaudhuri
Ari S. Morcos
VLMCLIP
297
28
0
09 Jan 2024
Fully Attentional Networks with Self-emerging Token Labeling
Fully Attentional Networks with Self-emerging Token LabelingIEEE International Conference on Computer Vision (ICCV), 2023
Bingyin Zhao
Zhiding Yu
Shiyi Lan
Yutao Cheng
A. Anandkumar
Yingjie Lao
Jose M. Alvarez
1.2K
6
0
08 Jan 2024
Learning to Prompt with Text Only Supervision for Vision-Language Models
Learning to Prompt with Text Only Supervision for Vision-Language Models
Muhammad Uzair Khattak
Muhammad Ferjad Naeem
Muzammal Naseer
Luc Van Gool
F. Tombari
VLMVPVLM
288
40
0
04 Jan 2024
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for
  Multimodal Alignment
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal AlignmentInternational Conference on Machine Learning (ICML), 2024
Ziping Ma
Furong Xu
Jian Liu
Ming Yang
Qingpei Guo
VLM
239
7
0
04 Jan 2024
Few-shot Adaptation of Multi-modal Foundation Models: A Survey
Few-shot Adaptation of Multi-modal Foundation Models: A SurveyArtificial Intelligence Review (Artif Intell Rev), 2024
Fan Liu
Tianshu Zhang
Wenwen Dai
Wenwen Cai
Wenwen Cai Xiaocong Zhou
Delong Chen
VLMOffRL
310
51
0
03 Jan 2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
EPA: Neural Collapse Inspired Robust Out-of-Distribution DetectorIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Jiawei Zhang
Yufan Chen
Cheng Jin
Lei Zhu
Yuantao Gu
OODDUQCVAAML
199
10
0
03 Jan 2024
Universal Pyramid Adversarial Training for Improved ViT Performance
Universal Pyramid Adversarial Training for Improved ViT Performance
Ping Yeh-Chiang
Yipin Zhou
Omid Poursaeed
S. Narayan
Shukla
Tom Goldstein
Ser-Nam Lim
AAMLViT
197
0
0
26 Dec 2023
InternVL: Scaling up Vision Foundation Models and Aligning for Generic
  Visual-Linguistic Tasks
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen
Jiannan Wu
Wenhai Wang
Weijie Su
Guo Chen
...
Bin Li
Ping Luo
Tong Lu
Yu Qiao
Jifeng Dai
VLMMLLM
641
2,210
0
21 Dec 2023
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
Brian Nlong Zhao
Yuhang Xiao
Lyne Tchapmi
Xinyang Jiang
Yifan Yang
Dongsheng Li
Laurent Itti
Vibhav Vineet
Yunhao Ge
VLM
266
4
0
21 Dec 2023
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez
Sina Hajimiri
Ismail Ben Ayed
Jose Dolz
VLM
334
61
0
20 Dec 2023
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model
  within 0.5K Parameters
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters
Tianxiang Hao
Mengyao Lyu
Hui Chen
Sicheng Zhao
Jungong Han
Guiguang Ding
VLMVPVLM
223
2
0
17 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning
Gradient-based Parameter Selection for Efficient Fine-TuningComputer Vision and Pattern Recognition (CVPR), 2023
Zhi Zhang
Qizhe Zhang
Zijun Gao
Renrui Zhang
Ekaterina Shutova
Shiji Zhou
Shanghang Zhang
361
42
0
15 Dec 2023
Adaptive Shortcut Debiasing for Online Continual Learning
Adaptive Shortcut Debiasing for Online Continual LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Doyoung Kim
Dongmin Park
Yooju Shin
Jihwan Bang
Hwanjun Song
Jae-Gil Lee
CLL
225
5
0
14 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
424
8
0
13 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel
  Size might be All You Need
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need
Tianjin Huang
Tianlong Chen
Zinan Lin
Shiwei Liu
318
1
0
09 Dec 2023
Identifying and Mitigating Model Failures through Few-shot CLIP-aided
  Diffusion Generation
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation
Atoosa Malemir Chegini
Soheil Feizi
VLM
168
4
0
09 Dec 2023
Scaling Laws of Synthetic Images for Model Training ... for Now
Scaling Laws of Synthetic Images for Model Training ... for Now
Lijie Fan
Kaifeng Chen
Dilip Krishnan
Dina Katabi
Phillip Isola
Yonglong Tian
CLIPVLM
271
106
0
07 Dec 2023
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited
  Scenarios
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios
Mushui Liu
Weijie He
Ziqian Lu
Yunlong Yu
VLM
157
2
0
06 Dec 2023
Rejuvenating image-GPT as Strong Visual Representation Learners
Rejuvenating image-GPT as Strong Visual Representation LearnersInternational Conference on Machine Learning (ICML), 2023
Sucheng Ren
Zeyu Wang
Hongru Zhu
Junfei Xiao
Yaoyao Liu
Cihang Xie
VLM
284
12
0
04 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular
  Regression
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression
Sergey Kolesnikov
CMLOOD
250
5
0
04 Dec 2023
Mitigating Over-smoothing in Transformers via Regularized Nonlocal
  Functionals
Mitigating Over-smoothing in Transformers via Regularized Nonlocal FunctionalsNeural Information Processing Systems (NeurIPS), 2023
Tam Nguyen
Tan-Minh Nguyen
Richard G. Baraniuk
189
26
0
01 Dec 2023
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced
  Training
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced TrainingComputer Vision and Pattern Recognition (CVPR), 2023
Pavan Kumar Anasosalu Vasu
Hadi Pouransari
Fartash Faghri
Raviteja Vemulapalli
Oncel Tuzel
CLIPVLM
692
84
0
28 Nov 2023
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
TransNeXt: Robust Foveal Visual Perception for Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2023
Dai Shi
ViT
303
261
0
28 Nov 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via
  Generative Feedback
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Mihir Prabhudesai
Tsung-Wei Ke
Alexander C. Li
Deepak Pathak
Katerina Fragkiadaki
TTA
244
27
0
27 Nov 2023
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
ArGue: Attribute-Guided Prompt Tuning for Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Xinyu Tian
Shu Zou
Zhaoyuan Yang
Jing Zhang
VLM
398
50
0
27 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Rajan Marathe
VLM
216
0
0
27 Nov 2023
Having Second Thoughts? Let's hear it
Having Second Thoughts? Let's hear it
J. H. Lee
Sujith Vijayan
AAML
170
0
0
26 Nov 2023
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIPComputer Vision and Pattern Recognition (CVPR), 2023
Jiawang Bai
Kuofeng Gao
Shaobo Min
Shu-Tao Xia
Zhifeng Li
Wei Liu
VLM
251
68
0
26 Nov 2023
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
Sahil Verma
Gantavya Bhatt
Avi Schwarzschild
Soumye Singhal
Arnav M. Das
Chirag Shah
John P Dickerson
Jeff Bilmes
J. Bilmes
AAML
289
1
0
25 Nov 2023
HGCLIP: Exploring Vision-Language Models with Graph Representations for
  Hierarchical Understanding
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical UnderstandingInternational Conference on Computational Linguistics (COLING), 2023
Peng Xia
Xingtong Yu
Ming Hu
Lie Ju
Zhiyong Wang
Peibo Duan
Zongyuan Ge
VLM
320
16
0
23 Nov 2023
Hardware Resilience Properties of Text-Guided Image Classifiers
Hardware Resilience Properties of Text-Guided Image ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Syed Talal Wasim
Kabila Haile Soboka
Abdulrahman Mahmoud
Salman Khan
David Brooks
Gu-Yeon Wei
VLM
209
1
0
23 Nov 2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy
  Tradeoff for Out-of-Distribution Few-shot Learning
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot LearningComputer Vision and Pattern Recognition (CVPR), 2023
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
OODD
303
7
0
21 Nov 2023
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion
Yueqian Lin
Jingyang Zhang
Yiran Chen
Hai Li
DiffM
182
7
0
21 Nov 2023
Discrete approximations of Gaussian smoothing and Gaussian derivatives
Discrete approximations of Gaussian smoothing and Gaussian derivatives
Tony Lindeberg
440
23
0
19 Nov 2023
Adversarial Prompt Tuning for Vision-Language Models
Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang
Jiabo He
Xin Wang
Lingyu Qiu
Yuan Liu
Yu-Gang Jiang
Jitao Sang
AAMLVPVLMVLM
331
33
0
19 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyInternational Conference on Machine Learning (ICML), 2023
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
363
25
0
15 Nov 2023
Domain Aligned CLIP for Few-shot Classification
Domain Aligned CLIP for Few-shot ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Muhammad Waleed Gondal
Jochen Gast
Inigo Alonso Ruiz
Richard Droste
Tommaso Macri
Suren Kumar
Luitpold Staudigl
VLM
217
18
0
15 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty
  Estimation
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana
Carlos Mougan
Dan Saattrup Nielsen
201
0
0
15 Nov 2023
Introducing an Improved Information-Theoretic Measure of Predictive
  Uncertainty
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty
Kajetan Schweighofer
L. Aichberger
Mykyta Ielanskyi
Sepp Hochreiter
173
18
0
14 Nov 2023
Exploring Dataset-Scale Indicators of Data Quality
Exploring Dataset-Scale Indicators of Data Quality
Ben Feuer
Chinmay Hegde
204
1
0
07 Nov 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelNeural Information Processing Systems (NeurIPS), 2023
Cheng Cheng
Lin Song
Ruoyi Xue
Hang Wang
Hongbin Sun
Yixiao Ge
Ying Shan
VLMObjD
430
48
0
07 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust
  Manipulation?
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?Conference on Robot Learning (CoRL), 2023
Kaylee Burns
Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OODSSL
375
34
0
03 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Changdae Oh
Hyesu Lim
Mijoo Kim
Dongyoon Han
Junhyeok Park
Euiseog Jeong
Alexander G. Hauptmann
Zhi-Qi Cheng
Kyungwoo Song
VLM
727
30
0
03 Nov 2023
Align Your Prompts: Test-Time Prompting with Distribution Alignment for
  Zero-Shot Generalization
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Jameel Hassan
Hanan Gani
Noor Hussein
Muhammad Uzair Khattak
Muzammal Naseer
Fahad Shahbaz Khan
Salman Khan
VLMOOD
398
114
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Distilling Out-of-Distribution Robustness from Vision-Language
  Foundation Models
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
Andy Zhou
Jindong Wang
Yu-Xiong Wang
Haohan Wang
VLM
265
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Tailoring Mixup to Data for Calibration
Tailoring Mixup to Data for CalibrationInternational Conference on Learning Representations (ICLR), 2023
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
448
3
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02 Nov 2023
Robustness Tests for Automatic Machine Translation Metrics with
  Adversarial Attacks
Robustness Tests for Automatic Machine Translation Metrics with Adversarial AttacksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
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Timothy Baldwin
197
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Addressing Weak Decision Boundaries in Image Classification by
  Leveraging Web Search and Generative Models
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Preetam Prabhu Srikar Dammu
Yunhe Feng
Chirag Shah
234
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Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
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Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
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Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
474
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Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner
  from Backbone
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Zeyinzi Jiang
Chaojie Mao
Ziyuan Huang
Ao Ma
Yiliang Lv
Yujun Shen
Deli Zhao
Jingren Zhou
248
25
0
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